ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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mRNA Covid-19 vaccines in pregnancy: A systematic review
This article has 6 authors:Reviewed by ScreenIT
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The toll of COVID-19 on African children: A descriptive analysis on COVID-19-related morbidity and mortality among the pediatric population in Sub-Saharan Africa
This article has 18 authors:Reviewed by ScreenIT
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Time Windows Voting Classifier for COVID-19 Mortality Prediction
This article has 2 authors:Reviewed by ScreenIT
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Longitudinal variation in SARS-CoV-2 antibody levels and emergence of viral variants: a serological analysis
This article has 19 authors:Reviewed by ScreenIT
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T-CoV: a comprehensive portal of HLA-peptide interactions affected by SARS-CoV-2 mutations
This article has 4 authors:Reviewed by ScreenIT
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Genomic Surveillance of SARS-CoV-2 in Erie County, New York
This article has 11 authors:Reviewed by ScreenIT
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Late Surges in COVID-19 Cases and Varying Transmission Potential Partially Due to Public Health Policy Changes in 5 Western States, March 10, 2020, to January 10, 2021
This article has 10 authors:Reviewed by ScreenIT
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Mouse Antibodies with Activity Against the SARS-CoV-2 D614G and B.1.351 Variants
This article has 10 authors:Reviewed by ScreenIT
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The Ultra Fit Community Mask - Toward Maximal Respiratory Protection via Personalized Face Fit
This article has 9 authors:Reviewed by ScreenIT
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A Nationwide Observational Study of Chlamydia trachomatis Infections in Denmark during the COVID-19 Pandemic
This article has 9 authors:Reviewed by ScreenIT